Fitting and Analyzing Randomly Censored Geometric Extreme Exponential Distribution
نویسندگان
چکیده
منابع مشابه
Classical and Bayesian Inference in Two Parameter Exponential Distribution with Randomly Censored Data
Abstract. This paper deals with the classical and Bayesian estimation for two parameter exponential distribution having scale and location parameters with randomly censored data. The censoring time is also assumed to follow a two parameter exponential distribution with different scale but same location parameter. The main stress is on the location parameter in this paper. This parameter has not...
متن کاملBayesian Analysis of Randomly Censored Generalized Exponential Distribution
Abstract: This paper deals with Bayesian analysis of two-parameter generalized exponential distribution in proportional hazards model of random censorship. It is well known for two-parameter lifetime distributions that continuous conjugate priors for the parameters do not exist; we assume independent gamma priors for the scale and shape parameter. It is seen that the closed-form expressions for...
متن کاملPrediction of Times to Failure of Censored Units in Hybrid Censored Samples from Exponential Distribution
In this paper, we discuss different predictors of times to failure of units censored in a hybrid censored sample from exponential distribution. Bayesian and non-Bayesian point predictors for the times to failure of units are obtained. Non-Bayesian prediction Intervals are obtained based on pivotal and highest conditional density methods. Bayesian prediction intervals are also proposed. One real...
متن کاملInference on Lifetime Performance Index of Two-Parameter Exponential Distribution: Censored and Record Dat
This article has no abstract.
متن کاملThe Complementary Exponentiated Exponential Geometric Lifetime Distribution
We proposed a new family of lifetime distributions, namely, complementary exponentiated exponential geometric distribution. This new family arises on a latent competing risk scenario, where the lifetime associated with a particular risk is not observable but only the maximum lifetime value among all risks. The properties of the proposed distribution are discussed, including a formal proof of it...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Pakistan Journal of Statistics and Operation Research
سال: 2016
ISSN: 2220-5810,1816-2711
DOI: 10.18187/pjsor.v12i2.1242